r/cTrader_Club

I want to give an honest account of this because most AI trading posts here are either too positive or too negative.

What I did:

• Described my trading logic in plain English to an AI
• Let it translate that into a systematic, rule-based strategy
• Ran it on paper trading for 30 days, then live for 30 days
• Did not touch it or override it during the entire period

Paper trading result: up 8.3%. My manual account over the same period: flat.

Live trading result: up 3.1%. My manual account over the same 30 days: down 1.4%.

What surprised me most: the AI strategy made MORE trades than I would have manually, but each individual trade was SMALLER. My manual trading was the opposite fewer trades, but I was sizing up when I felt "confident" (which is just another word for recency bias after a few wins in a row).

One month of live data means nothing statistically. I know that.

But the emotional experience was genuinely different. I wasn't stressed. I wasn't watching every candle. I checked in twice a day instead of every 20 minutes.

I don't know if this is repeatable. I'm going to run it for another 90 days and post an update.

Anyone else doing something similar? What have you actually found?

What's the one thing that messes with your performance that has nothing to do with your setup or strategy?

Hello!

I have a strategy I want paper traded before I go live with it. I simply want to be able to have a screener app I've designed pick condor setups based on my parameters and trade them and log the P&L. I have TOS and a Schwab account, but you can't link the API to a paper account. I tried tastytrade, but apparently their sandbox resets daily so I wouldn't have results to track since every trade takes place over at least one night. Alpaca doesn't come with options yet. I don't mind paying a small subscription fee if I must. Just curious if anyone has good recs for these needs.

Thanks in advance!

About three months ago I picked up a trend-following cBot from cTrader Store. It had decent reviews, a clear description, and a backtest curve that looked solid. I deployed it, walked away feeling good about myself, and came back to six consecutive losing trades.
My instinct was to blame the developer. I drafted a one-star review in my head before I even opened the settings.
Then I actually read the product documentation - something I obviously should have done first. The bot was built and optimised specifically for H4 timeframes on major forex pairs. I had it running on M15 gold because that's what I had open at the time.
I changed the timeframe, adjusted the ATR multiplier to something more appropriate for the slower chart, and ran a quick backtest on recent data. Completely different results. The strategy logic was sound - I had just shoved it into conditions it was never designed for.
The 14-day refund window on cTrader Store means you can test properly before committing, but I didn't even use that time well. The real issue was expecting a plug-and-play outcome from a tool that still requires trader input.
If you're buying bots or indicators from the store, spend 20 minutes with the documentation before you judge performance. Most of the time the strategy isn't the problem.

Went back through 3 months of trades and noticed something weird. My best trades almost always came when I was relaxed and wasn't really looking for anything. My worst came when I was actively hunting for a setup.

When I'm too focused I start seeing things that aren't there. Forcing confluence, convincing myself the setup is there when it's borderline at best.

Started tracking my mindset before entries now, not just the setup. The data is honestly more interesting than my win rate by session or time of day.

Anyone else notice this or is it just me?

System’s flat. No signal. Market’s moving anyway.That’s when it gets difficult.Every instinct says, Just get in. You built the system to trade, not sit there watching candles move without you.But when the setup isn’t there, forcing a trade is basically discretionary trading with extra steps.Honestly, I’ve probably lost more money during no-signal periods than from flaws in the actual strategy itself.Sitting on your hands when the algo says nothing is a skill on its own, and nobody really talks about how to build it.

Anyone else struggle more with quiet periods than actual losing streaks?

cTrader just released native MCP (Model Context Protocol) server support - connect Claude, ChatGPT or any MCP-compatible agent directly to a live trading account and place orders, manage positions and run technical analysis through prompts. Setup takes about two minutes from account settings.

Two modes: Remote MCP for web-based access from any AI app, and Local MCP for desktop with deeper chart and workspace control. There's also a Skills library with ready-made prompt templates for common trading workflows so you're not building from scratch.

The interesting part for algo traders is how this sits on top of existing cBots and custom indicators. You could prompt an agent to backtest a parameter range or manage a running position without touching the UI.

Anyone already using MCP with other platforms or broker APIs? What's been the biggest friction point?

I really want to be successful with trading. And I’m ready to put in more work than I’ve already did in studying concepts and practicing etc. I just feel a bit lost on where to start so I wanted to ask the people who are successful and profitable. What was it that you started focusing on that really helped you get over the hump and actually start to feel like ”this is it” or like you’re figuring it out.

My worst feeling is the ”I think I’m doing good, but idk because I don’t have a big enough sample size” it feels like you’re fishing blind. And I feel like it’s easy to get stuck feeling like that for a long time. But I know trading will always feel a bit like that. I’m just looking for some pointers on direction. Right now I’m very focused on learning more about volume and trying to read order flow. I want to understand that thoroughly, know it in my sleep level.

I don’t understand how to use volume profile. People say to anchor it from yesterday’s open to close and mark VAH/VAL/POC on the 30m timeframe. I do that, but price almost never hits yesterday’s VAH or VAL. Or if it does, it’s usually like 2–3am and already hours into the session.

A lot of people say “for now only take trades from VAH and VAL, and target VAH or VAL or POC” but I don’t get how that’s supposed to work if price barely reaches those levels. And when it does hit VAH/VAL, half the time it just breaks through and keeps going higher/lower anyway.

I’m also confused about entries and targets. If price reaches VAH/VAL, how do you know whether to fade it or trade the breakout? And where are you supposed to enter from and what do you target after that?

Would appreciate if someone could explain how they actually use volume profile in real trading, because right now it feels random to me.

I assume both situations but I would be curious to let you guys answer.

If you are doing this for yourself I would be further curious.

1. Are you doing this seriously 24/7 - for years?
2. Which brokers? Stocks, crypto only? Both?
3. What kind of hardware setups you work with you have a server in your basement, are you running on a VPS? More servers?
4. What kind tools/frameworks are you using open source projects from github, if so which?
5. Have you made any profits? (extra question added as per the 'special' request of commenters 🤣)

Ctrader MCP

Been backtesting a mean-reversion system for EUR/USD and the in-sample results look solid, but every time I test it on fresh data the edge basically disappears. I know overfitting is the obvious answer but I'm not sure where my process is breaking down. Are walk-forward tests enough, or am I missing something in how I'm splitting the data?

Been using cTrader for years and just discovered something that changed my approach to social trading. Most copy trading setups I've tried feel like gambling - you pick someone random and hope for the best.

But cTrader Copy? That's different. It's not just blind following.

What makes it stand out:

You can actually filter traders by specific metrics. Not just "profitable" but things like max drawdown, trade frequency, how long they've been active. I found one guy who's consistently profitable with under 5% max drawdown - rare find in copy trading.

The allocation settings are legit too. You don't just copy 1-for-1. You can set percentage allocation based on your account size. If someone risks 2% and you want to risk 0.5%, it scales automatically. This matters when you're starting out with smaller capital.

Real-time risk management updates are huge. Most platforms show you their stats after the fact. cTrader shows you live - when they adjust stops, modify positions, you see it instantly. No more surprises when you check your account hours later.

The recent mobile app updates made it even better. You can get push notifications when your copied trader opens a position. Perfect for when you're not at your desk but want to react quickly.

Why this matters in 2026: with all the geopolitical noise and central bank madness, having some diversified exposure through experienced traders adds an extra layer of risk management. I still do my own analysis, but having 3-5 skilled traders I copy gives me different angles on the market.

Fusion Markets' cTrader implementation handles this well. Raw spreads mean the copy trading costs don't eat into profits like they do at other brokers.

Any of you tried cTrader Copy? Which traders do you follow and what's your strategy for managing the copied portion vs your own trades?

https://preview.redd.it/whzdbvy3i10h1.png?width=1824&format=png&auto=webp&s=e31f261c15639af93b33626be80a4d065e779473

There's a pattern that keeps coming up with trend-based bots on XAUUSD - they look underwhelming out of the box, then completely transform once you dial in the parameters for the actual market conditions.

The interesting thing about breakout logic on gold is that it's heavily context-dependent. A trend filter that works beautifully during a strong directional month can sit flat for weeks when gold chops sideways. Default settings are essentially a compromise built for "average" conditions - and gold rarely behaves average.

The bots that survive long-term on XAUUSD tend to share one trait: they're built with optimization in mind from the start. Fixed SL with tiered take-profit levels, H4 as the base timeframe to filter out noise, and a trend filter that keeps the bot out of bad entries. The architecture matters more than the defaults.

What this creates is a gap between raw backtest performance and optimized performance that can be massive - and that gap is where most traders give up. They run the default, see flat results, and move on. The traders who stick around and tune the settings for the current regime are the ones who actually see what the strategy can do.

Do you think bots should ship with pre-tuned presets for specific symbols, or is manual optimization part of what makes algo trading worth doing?